Author

Takeshi Chujo

Kumamoto UniversityORCID 0000-0003-2393-5776Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:mouse· 1

Frequent Co-Authors

Tetsuro HiroseiD· 2 shared Asuteka NagaoiD· 1 shared Chao ZengiD· 1 shared Fan‐Yan WeiiD· 1 shared Goro TeraiiD· 1 shared Haruna TaniiD· 1 shared Haruna YamashiroiD· 1 shared Hiro TakakuwaiD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Tetsuro HiroseORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Molecular BiologybioRxivPreprintJul 19, 2023

The complexity and dynamics of in organello translation assessed by high-resolution mitochondrial ribosome profiling

Taisei Wakigawa, Mari Mito, Haruna Yamashiro…·Shintaro Iwasaki

This study develops a high-resolution mitochondrial ribosome profiling technique to analyze translation dynamics and regulation in mammals.

16 citations

mouseproteomics

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BioinformaticsNucleic Acids ResearchPeer-reviewedJun 22, 2023

Landscape of semi-extractable RNAs across five human cell lines

Chao Zeng, Takeshi Chujo, Tetsuro Hirose, Michiaki Hamada

The paper identifies 1,074 semi-extractable RNAs across five human cell lines and characterizes their distribution, interactions, and grouping based on k-mer content.

11 citations

humanbulk RNA-seq

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Molecular BiologyRNAPeer-reviewedNov 16, 2022

Remarkable improvement in detection of readthrough downstream-of-gene transcripts by semi-extractable RNA-sequencing

Junichi Iwakiri, Kumiko Tanaka, Takeshi Chujo…·Tetsuro Hirose

The paper introduces a method to detect readthrough downstream-of-gene transcripts by semi-extractable RNA-seq and identifies stress-inducible, semi-extractable transcripts.

6 citations

humanbulk RNA-seq

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